EP 4095796 A1 20221130 - MACHINE LEARNING IN THE FIELD OF RADIOLOGY WITH CONTRAST AGENT
Title (en)
MACHINE LEARNING IN THE FIELD OF RADIOLOGY WITH CONTRAST AGENT
Title (de)
MASCHINELLES LERNEN IM BEREICH DER KONTRASTMITTELVERSTÄRKTEN RADIOLOGIE
Title (fr)
APPRENTISSAGE AUTOMATIQUE DANS LE DOMAINE DE LA RADIOLOGIE ASSISTÉE PAR CONTRASTE
Publication
Application
Priority
EP 21176759 A 20210529
Abstract (en)
[origin: WO2022253687A1] The present invention relates to the technical field of producing artificial contrast-enhanced radiological images by way of machine learning methods.
Abstract (de)
Die vorliegende Erfindung befasst sich mit dem technischen Gebiet der Erzeugung von künstlichen kontrastmittelverstärkten radiologischen Aufnahmen mittels Methoden des maschinellen Lernens.
IPC 8 full level
G06T 7/00 (2017.01)
CPC (source: EP)
G06T 7/0012 (2013.01); G06T 2207/10072 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30004 (2013.01); G06T 2207/30101 (2013.01)
Citation (applicant)
- US 6039931 A 20000321 - SCHMITT-WILLICH HERIBERT [DE], et al
- WO 2020246996 A1 20201210 - ELEKTA INC [US]
- WO 2020242572 A1 20201203 - TENCENT AMERICA LLC [US]
- EP 3785231 A1 20210303 - ELEKTA INC [US]
- WO 2021049784 A2 20210318 - INHA IND PARTNERSHIP INST [KR]
- EP 3767590 A1 20210120 - BOSCH GMBH ROBERT [DE]
- US 2019295302 A1 20190926 - FU YUN [US], et al
- G. BONACCORSO: "Hands-On Unsupervised Learning with Python", 2019, PACKT PUBLISHING
- N. K. MANASWI: "Generative Adversarial Networks with Industrial Use Cases", 2020, BPB PUBN VERLAG
Citation (search report)
- [A] EP 3694413 A1 20200819 - UNIV LELAND STANFORD JUNIOR [US]
- [A] DAR SALMAN U H ET AL: "Prior-Guided Image Reconstruction for Accelerated Multi-Contrast MRI via Generative Adversarial Networks", IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, IEEE, US, vol. 14, no. 6, 11 June 2020 (2020-06-11), pages 1072 - 1087, XP011811205, ISSN: 1932-4553, [retrieved on 20200923], DOI: 10.1109/JSTSP.2020.3001737
- [A] XIE HUIQIAO ET AL: "Generation of contrast-enhanced CT with residual cycle-consistent generative adversarial network (Res-CycleGAN)", PROGRESS IN BIOMEDICAL OPTICS AND IMAGING, SPIE - INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING, BELLINGHAM, WA, US, vol. 11595, 15 February 2021 (2021-02-15), pages 1159540 - 1159540, XP060139596, ISSN: 1605-7422, ISBN: 978-1-5106-0027-0, DOI: 10.1117/12.2581056
- [A] HAUBOLD JOHANNES ET AL: "Contrast agent dose reduction in computed tomography with deep learning using a conditional generative adversarial network", EUROPEAN RADIOLOGY, SPRINGER INTERNATIONAL, BERLIN, DE, vol. 31, no. 8, 25 February 2021 (2021-02-25), pages 6087 - 6095, XP037503087, ISSN: 0938-7994, [retrieved on 20210225], DOI: 10.1007/S00330-021-07714-2
Designated contracting state (EPC)
AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
Designated extension state (EPC)
BA ME
Designated validation state (EPC)
KH MA MD TN
DOCDB simple family (publication)
EP 4095796 A1 20221130; EP 4348573 A1 20240410; WO 2022253687 A1 20221208
DOCDB simple family (application)
EP 21176759 A 20210529; EP 2022064302 W 20220525; EP 22733526 A 20220525